Graduate Professional Experience june 5

23/Spring - KG 690: Graduate Professional Experience (Internship Level I)

WK # 4 – Journal Entry # 1

Rutvik Gohil May 27, 2023

SMART GOAL

• To apply machine learning to predict the customer churn rate for the telecommunication company.

SMART OBJECTIVE …… S = Specific

OBJECTIVE • To develop a machine learning model with a high accuracy for

predicting the customer churn for the company.

PLAN • Request for the company’s customer data specifically usage

patterns and their billing history • Use my data skills to extract the relevant features that I Can use

to predict the churn rate

SMART OBJECTIVE …… M = Measurable

OBJECTIVE

• The model should be able to predict the churn rate with and accuracy of 85%.

PLAN • Use logic regression, decision trees to develop the machine learning model • Apply cross-validation to measure the accuracy of the model and to fine-tune

the parameters of the model as will be necessary.

SMART OBJECTIVE …… A = Achievable

OBJECTIVE

• To use techniques like feature engineering and appropriate model selection to develop the model within the set budget

PLAN • Conduct a literature review on the latest and most appropriate techniques that

I can use to predict the customer churn rate • Use scikit-learn and TensorFlow to build the actual model

SMART OBJECTIVE …… R = Relevant

OBJECTIVE

• Ensure that the model meets the needs of the company

PLAN • Hold a meeting with my immediate supervisor to discuss the specific

requirements of the company department • Incorporate the feedback into my development process

SMART OBJECTIVE …… T = Time-bound

OBJECTIVE • Deliver a functional machine learning model to the head of the department

in three months time.

PLAN • Have a project plan that contains project milestone and deadlines for

achieving those milestones. • Supervise myself and make necessary adjustments to my plan so as to meet

the deliver the machine learning model by the second month to get time for review/revision.